This entry runs no foundation model. Every finding below is quoted to the vendor’s own document, or marked not disclosed where the vendor publishes nothing.
Sampling profiler for Python programs — zero overhead production profiling for identifying hot paths and algorithmic inefficiencies that cause server overspending in vibe-coded architectures
No foundation model. py-spy does not run one, so this criterion does not apply and is excluded from the grade rather than counted against it. A low-overhead sampling profiler for Python that reads a running program's stacks from a separate process. Established from the product’s own public documentation and what it does. If that is out of date, tell us at right of reply.
Not yet assessed. We publish a sovereignty position only where the vendor documents one — we do not infer it from a domain or a company name.
Vannus publishes a nine-dimension trust framework — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →